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Posts Tagged 'Learning'

We're very excited about the next version of our Rapise test automation system. The new version leverages research done by the Inflectra artificial intelligence and machine learning unit to introduce self-healing web testing and self-healing web locators to take the flakiness and manual effort associated with automating web testing.

The use of big data and cloud computing solutions in the enterprise world has helped skyrocket Python in popularity. It is one of the most popular languages used in data science, second only to R. It’s also being used for machine learning and Artificial Intelligence (AI) systems and various modern technologies. So we decided it was a good time to create a Python Pytest extension for Spira.

You built your first test. And it works, as planned! Congratulations! Based on that test you submitted a bug and
proved your worth and the value of automation! Again congrats. Now development
has “fixed” the bug, time to retest. OOPS! The test fails,
not due to the bug, but because the flow is wrong.
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So, lets say that you are a code genius. You understand what is going on under the hood. The developers of your application have shared intimate details, not only of their bar crawl, but of what each object is in the application. What can you do with this knowledge?
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Rapise has several methods for learning the objects within the application under test. While still easy to learn, this method does not automatically develop a runnable test that will deliver any meaningful results. Herein we will discuss the learning methodology and provide a flow to follow, however we will not have a runnable test in the end as no input or click-stream data will be captured.